Sisense MCP
by Sisense
Official listing: built and published by Sisense. More from Sisense
Explore Sisense data models, run natural-language queries, and build charts and draft dashboards from Claude, ChatGPT, or Cursor over Sisense's hosted MCP server.
Use it now
Keep it with up to 9 other tools you're setting up, then share them all as one link.
Try this first
Ask your assistant, with Sisense MCP connected:
- Data Model Discovery
Use Sisense MCP to list the data models: ‹what you need›
- Natural Language Queries
Use Sisense MCP to run a natural-language query against a chosen Sisense data model: ‹what you need›
- Chart Building
Use Sisense MCP to build line, bar, pie, or area charts: ‹what you need›
Connect it over MCP
{
"mcpServers": {
"sisense-mcp": {
"url": "https://mcp.sisense.com/mcp"
}
}
}claude mcp add --transport http sisense-mcp https://mcp.sisense.com/mcp
In Grok, ChatGPT and other assistants, add a custom connector with the address https://mcp.sisense.com/mcp (how, step by step).
It may ask you to sign in to Sisense or for a key when you add it; the setup guide says which.
Setup guide: docs.sisense.com/main/SisenseLinux/mcp-connect-ai-agent.htm
Compare
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- Access
- MCP
- Auth
- OAuth 2.0
- Skills
- 5
Skills
Data Model Discovery
Lists the data models and sources you can access and returns their tables, columns, relationships, and formulas.
Natural Language Queries
Runs a natural-language query against a chosen Sisense data model, using your governed metrics and relationships.
Chart Building
Builds line, bar, pie, or area charts from a query result and changes their type, sorting, styling, and trend or forecast lines.
Draft Dashboards
Creates or opens a dashboard as a chat draft and adds widgets, plain-language filters, and an AI summary without saving to Sisense.
Pulse Monitoring
Lists Pulses and their run history and runs an existing Pulse on demand to check whether its alert condition is met.
